Comprehensive thermal analysis of surface films formed on lithium ion battery negative electrodes
Poster Abstract Advanced Battery Power Conference 2023 Comprehensive thermal analysis of surface films formed on lithium ion battery negative electrodes Dennis Kessena,*, Christoph Peschela, Tautvydas Bieliauskasa, Martin Wintera,b, Sascha Nowaka, Simon Wiemers-Meyera a University of Münster, MEET Battery Research Center, Corrensstraße 46, 48149 Münster, Germany b Helmholtz-Institute Münster, IEK-12, FZ Jülich, Corrensstraße 46, 48149 Münster, […]
Contactless cell opening of lithium-ion pouch cells and reuse of pouch foil within the direct recycling approach
The current developments on the European level in terms of creating a circular economy in the electromobility sector not only require highly efficient and long-lasting battery technologies but also efficient recycling technologies.[1]In the case of lithium-ion batteries (LIBs), the focus should thereby not only be set on the highest commercial value materials but rather on […]
Quantifying the Dependence of Battery Rate Performance on Common Physical Parameters
Simultaneous optimisation of capacity and rate-performance in battery electrodes would be much simplified by access to a simple equation relating rate-performance to electrode thickness. While a number of equations have been proposed, data on the effect of electrode thickness on rate-performance is not extensive enough to identify the most appropriate model for thickness-dependence. Here, using […]
Neural network architecture for determining the aging of stationary storage systems in decentralized energy systems
Modellierung der Alterung von Li-Ionen Zellen mittels neuronaler Netze für stationäre Anwendungen in dezentralen Energiesystemen Ein neuronales Netzwerk wird entwickelt, um die Alterung von Lithium-Ionen-Zellen zu modellieren. Betriebsdaten aus einem Batterietest mit mehreren LFP-Zellen werden verwendet um Zusammenhänge zwischen Kapazität, Strom und Spannung zu ermitteln. Speziell für die Nutzung in neuronalen Netzen werden die Daten […]
State-of-Safety algorithm for Li-ion Batteries based on internal novel sensing technologies
The broader adoption of Li-ion Batteries (LiB) in a wide range of applications (including stationary and mobility ones) is a necessary step ahead to comply with the objectives of the green transition. However, simultaneously, the spread of these systems is increasing the safety requirements, as avoiding devastating events such as thermal runaway becomes essential. In […]
Innovative multi-domain modeling approach for future battery architectures
Lithium-Ion batteries represent the current standard of energy storage systems in mobile and stationary applications. Different requirements for a wide range of applications challenge the product development due to the high diversity of technologies and components. Fast changing properties of battery cell and system components lead to a demand for high adaptable and modular modeling […]
Aqueous based cathodes with LiPAA-Alginate blended binder
Li-ion batteries are one of the most advanced energy storage systems and provide one of the highest energy densities for secondary batteries, long cycle life, and good power capacity. The main solvent for PVdF binders used today for cathode production is NMP, an organic solvent which is expensive, volatile, toxic, and the recovery is energy […]
How are Different Metal Oxalates Influencing Li-Ion-Batteries?
Recycling of the large return volumes of lithium-ion batteries with environmental and economic impact is mandatory. But recycling releases impurities: Not only during crushing but also during leaching, impurities can be introduced and found in the recycled material. These can have a significant impact on performance (lifetime, capacity, …). For this reason, their influence is […]
Recycling Strategies for Sulfide-Based All-Solid-State Lithium-Ion Batteries
All-solid-state lithium-ion batteries (ASSBs) are an up-and-coming alternative to conventional lithium-ion batteries with liquid electrolytes. A high potential lies in higher energy densities with high lifetime and long-term stability, avoiding safety hazards such as thermal runaway concerning liquid electrolyte systems. Battery cell concepts with sulfidic electrolytes represent a promising candidate due to their high plasticity […]
Automated data management in R&D cell production
Batalyse is a software system to automate time consuming manual data processing like file gathering, categorization and evaluation for R&D, production and QM. Sort and filter your test, analysis and production data for specific materials, projects, customers and performance. Link material properties, with production parameters and product performance, receive structured data and apply your AI […]